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Data Engineer Business Intelligence at LinkedIn

Berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 27

Salary

45000.0

Posted On

27 Oct, 26

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Industry

Information Technology & Services

Description

Data pipelines and ETL processes: You will design, develop and operate robust and scalable data pipelines and automated ETL processes using Python, Apache Airflow and dbt.
Process automation: They orchestrate, automate, and monitor data processing processes and ensure their reliable operation.
Data integration: You integrate and transform data from various internal and external sources.
Data modeling: You develop suitable data models for reporting, analysis and business intelligence applications and continuously expand them.
Data quality and performance: They ensure the quality, consistency and traceability of the data and optimize database queries and data processing processes with regard to their performance.
Data architecture and documentation: You continuously develop our data architecture and data processes and ensure structured and traceable documentation.
Interdisciplinary collaboration: Together with the specialist departments, you analyze data-related requirements and translate them into suitable technical solutions.

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Responsibilities

Data pipelines and ETL processes: You will design, develop and operate robust and scalable data pipelines and automated ETL processes using Python, Apache Airflow and dbt.
Process automation: They orchestrate, automate, and monitor data processing processes and ensure their reliable operation.
Data integration: You integrate and transform data from various internal and external sources.
Data modeling: You develop suitable data models for reporting, analysis and business intelligence applications and continuously expand them.
Data quality and performance: They ensure the quality, consistency and traceability of the data and optimize database queries and data processing processes with regard to their performance.
Data architecture and documentation: You continuously develop our data architecture and data processes and ensure structured and traceable documentation.
Interdisciplinary collaboration: Together with the specialist departments, you analyze data-related requirements and translate them into suitable technical solutions.